A Generalised Data-Driven Shoreline Model Trained on the South-East Australian Coastline
Kit Calcrafta, Joshua A. Simmonsb, Lucy A. Marshallc, Kristen D. Splintera
a Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW, 2093, Australia
b Association for Josh
c Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia
Description:
This interactive map presents the fully deployed model across 306 beaches and approximately 8,000 transects, as shown in Figure 6. At the transect level, users can explore predictions into the holdout period (2020–2025), including the q50 (median) prediction and the 89th percentile prediction intervals, learned using quantile loss against ground-truth SDS observations from CoastSat. Each transect is coloured by its RMSE, with shading indicating its relative position within the overall RMSE distribution.
DOI: Under Review...